Citation 511

General score: 100/100 (very high correspondence)

Citation source: BLOG, “Pourquoi les personnes autistes ne peuvent pas "s'habituer": ce que dit vraiment la science”, published on 7 Apr 2026

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Cited reference

Uddin, L. Q., et al. (2013). Salience network-based classification and prediction of symptom severity in children with autism. JAMA Psychiatry, 70(8), 869-879. DOI: 10.1001/jamapsychiatry.2013.104

Matched reference

Uddin, Lucina Q.; Supekar, Kaustubh; Lynch, Charles J. (2013). Salience Network-Based Classification and Prediction of Symptom Severity in Children With Autism. JAMA Psychiatry, 70(8), 869. https://doi.org/10.1001/jamapsychiatry.2013.104

Open matched reference source Search the cited reference in Google Scholar

Candidate references (M1 and M2)

Method Jaccard index Source Matched reference
M1: Crossref, OpenAlex and PubMed 100.0% M1: Crossref Uddin, Lucina Q.; Supekar, Kaustubh; Lynch, Charles J. (2013). Salience Network-Based Classification and Prediction of Symptom Severity in Children With Autism. JAMA Psychiatry, 70(8), 869. https://doi.org/10.1001/jamapsychiatry.2013.104

M1: Crossref is selected because its DOI matches the DOI provided in the cited reference.

Overall score calculation

Element Status Score Weight
Authors Correct 100.0% 0.20
Title Correct 100.0% 0.20
Year Correct 100.0% 0.20
Journal Correct 100.0% 0.20
DOI Correct 100.0% 0.20

(Authors 100.0x0.20 + Title 100.0x0.20 + Year 100.0x0.20 + Journal 100.0x0.20 + DOI 100.0x0.20) / evaluated weight 1.00 = 100.0

Title correspondence details (Jaccard index)

Union: 7 words present in the titles
children; classification; network-based; prediction; salience; severity; symptom
Intersection: 7 shared words
children; classification; network-based; prediction; salience; severity; symptom
Words cited but absent from the matched title
-
Words from the matched title absent from the citation
-
Tolerance applied
hyphenated compound words kept: network-based; domain words excluded from the calculation: autism
Index calculation
Jaccard index = intersection / union = 7 / 7 = 100.0 %
Jaccard index
100.0% (excellent)